AH
Ali-hey-0/audio-ai-field-guide
A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-tuning, and real-world pipelines like voice assistants and meeting transcription. Bilingual (EN/FA).
Growth
- Last 24 hours
- +0
- stars
- Last 7 days
- +5
- stars
- Last 30 days
- +35
- stars
- Total stars
- 144
- 109 a month ago
- Forks
- 2
- 0 contributors
Star history
Last 12 weeks · weekly cumulative stars · computed from public GitHub star events
Rank in its topics
| Topic | Today | This week | This month |
|---|---|---|---|
| LLM | – | – | #249of 431 |
| Machine learning | – | – | #69of 170 |
| Audio | – | – | #51of 105 |
README
audio-ai-field-guide
A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-tuning, and real-world pipelines like voice assistants and meeting transcription. Bilingual (EN/FA).
Upstar hasn’t fetched this README yet. Read it on GitHub.